Future Data and Security Engineering : 12th International Conference, FDSE 2025, Ho Chi Minh City, Vietnam, November 27–29, 2025, Proceedings, Part II / edited by Tran Khanh Dang, Josef Küng, Tai M. Chung.

Format:

Book

Author/Creator:

Dang, Tran Khanh.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2709

Language:

English

Subjects (All):

Computational intelligence.

Application software.

Artificial intelligence.

Data protection.

Education--Data processing.

Education.

Computational Intelligence.

Computer and Information Systems Applications.

Artificial Intelligence.

Data and Information Security.

Computers and Education.

Local Subjects:

Computational Intelligence.

Computer and Information Systems Applications.

Artificial Intelligence.

Data and Information Security.

Computers and Education.

Physical Description:

1 online resource (709 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book constitutes the refereed proceedings of the 12th International Conference on Future Data and Security Engineering, FDSE 2025, held in Ho Chi Minh City, Vietnam, during November 27–29, 2025. The 56 full papers and 10 short papers presented in these two volumes were carefully reviewed and selected from 215 submissions. The papers are organized in the following topical sections: Part I: Invited Keynote; Advances in Machine Learning for Big Data Analytics; Security and Privacy Engineering; Query Processing and Optimization; Data Analytics and Healthcare Systems; Smart City and Industry 4.0 Applications. Part II: Invited Keynote; Advances in Machine Learning for Big Data Analytics; Security and Privacy Engineering; Query Processing and Optimization; Data Analytics and Healthcare Systems; Smart City and Industry 4.0 Applications; Short Papers: Security and Data Engineering.

Contents:

Invited Keynote .

Integrating Information Systems Engineering and Life Science to Decipher the Language of Life.

Advances in Machine Learning for Big Data Analytics.

LLM-Based Evaluation for Dynamic Routing Among Large Language Models.

Explainable AI for Lung Disease Classification: Looking Inside the Black Box.

Evaluating the SISA Framework for Efficient Machine Unlearning in Face Recognition Models.

Efficient Deep Feature Embedding and Hybrid Cnn–Lstm Models for Wearable Ppg Biometric Recognition.

A Dynamic Integrated Framework for Highly Accurate Real-Time Customer Classification.

Security and Privacy Engineering.

Typical Algebraic Signature Schemes With Two Hidden Groups.

SCANS: A Tool for Security Vulnerability Detection in Smart Contracts.

Evaluation of Synthetic Data Generation for Time Series: Privacy, Security, and Applications in Finance.

HeteroMalGAT: A Heterogeneous Graph Attention Network Framework for Android Malware Detection via Knowledge Graph Representations.

Post-Quantum Secure Decentralized Random Number Generation Protocol with Two Rounds of Communication in the Standard Model.

Query Processing and Optimization.

AutokRF: Efficient and Scalable Local Ensemble Learning with Automated Hyper parameter Tuning for Large-Scale Classification.

HDEM: A Hierarchical Dynamic Ensemble Model for Accurate Runtime Prediction on High Performance Computing Systems.

Resource-Constrained Optimization of E-Commerce Recommendation Systems.

Automated UML Generation: A Framework for Class Diagram Synthesis and Multimodal Validation.

Data Analytics and Healthcare Systems.

FallTrack-Net: Real-Time Detection, Emergency Evaluation, and Mobility History Logging in a Smartphone-Based Safety System.

Deep Learning Model and Fuzzy C-Means for Cardiac Disease Detection on Electrocardiogram Signal.

Segmentation of Prostate Tumors Via U-Net Architecture with Convolutional Neural Network Backbone.

Robust ResNet-based Models for Skin Lesion Detection.

Smart City and Industry 4.0 Applications.

UMIRA: A Unified Memory-Enhanced Retrieval and Task Allocation Framework for Elderly Care in Smart Home Environments.

Evaluating YOLOv11 for Traffic Object Detection under Adverse Weather Conditions.

VIESpam: A Hybrid BiLSTM Approach for Spam Classification in English and Vietnamese SMS.

Predicting the stock price using Bayesian graph neural networks-based architecture.

LeqLiv-25: A Ready-to-Use Malware/Benign Dataset for Training Supervised Machine Learning Models.

Towards Reliable Early Fire and Smoke Detection Using Optimized YOLOv11.

A Multi-Agent System for Automating SDLC Documentation in IoT Environments.

Using a Large Language Model to Build a Vietnamese Natural Language Inference Dataset.

Short Papers: Security and Data Engineering.

A fusion of Graph Neural Networks and Attention Mechanism for Image-Based Recommendation Systems.

An efficient model for fracture detection in wrist trauma images.

Hybrid Deep Learning–Data Augmentation Approach for Sound Classification.

Improving the Louvain algorithm in community detection.

Lightweight ViT-Based Image Retrieval System with Qdrant for Efficient Similarity Search.

Swin-FABNET: A Fuzzy Deep Learning Model For Cardiac MRI Segmentation.

VCaiLuong: Virtual Museum for the Preservation of Cai Luong’s Artistic Heritage and the Enhancement of Cultural Tourism Experiences.

Vision-based Large Language Models for Vietnamese Handwriting Recognition.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9547-24-5

9789819547241

OCLC:

1561170121